Image enhancement algorithm comparison

The Image Enhancement Algorithm Comparison System (IEACS) is designed to compare four enhancement algorithms based on the system’s criteria. Each algorithm is performed on a saved deficient image after which the resulting image is related. Finally, this thesis involves conducting a study to determin...

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Main Authors: Agustin, Charina B., Dela Cruz, Rizalyn C., Go, Lilibeth L., Romero, Marianna S.
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Language:English
Published: Animo Repository 1994
Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/16594
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-171072021-12-03T05:20:50Z Image enhancement algorithm comparison Agustin, Charina B. Dela Cruz, Rizalyn C. Go, Lilibeth L. Romero, Marianna S. The Image Enhancement Algorithm Comparison System (IEACS) is designed to compare four enhancement algorithms based on the system’s criteria. Each algorithm is performed on a saved deficient image after which the resulting image is related. Finally, this thesis involves conducting a study to determine the feasibility of the system’s criteria. The enhancement methods utilized by IEACS are contrast stretching, histogram equalization, median filtering and hi-boost filtering. The criteria includes the edge detection error rate, standard mean square error, signal-to-noise ratio and color difference measure. It refers to an original image, or a 2clear3 version of the deficient image, as basis. Through this study, it may be concluded that the effectivity of an enhancement algorithm is dependent on the type of distortion present in an image. Contrast stretching and histogram equalization correct poor contrast in an image. Median filtering is good for speckled images. Hi-boost filtering is recommended for images with unsharp edges. Finally, the criteria is not feasible because no definite correlation exists between this and the human means of image perception and judgement. The criteria is dependable only for specific cases such as neglecting the edge detection error rate for images with poor contrast and including this criterion for evaluating blurred images. 1994-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/16594 Bachelor's Theses English Animo Repository
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
description The Image Enhancement Algorithm Comparison System (IEACS) is designed to compare four enhancement algorithms based on the system’s criteria. Each algorithm is performed on a saved deficient image after which the resulting image is related. Finally, this thesis involves conducting a study to determine the feasibility of the system’s criteria. The enhancement methods utilized by IEACS are contrast stretching, histogram equalization, median filtering and hi-boost filtering. The criteria includes the edge detection error rate, standard mean square error, signal-to-noise ratio and color difference measure. It refers to an original image, or a 2clear3 version of the deficient image, as basis. Through this study, it may be concluded that the effectivity of an enhancement algorithm is dependent on the type of distortion present in an image. Contrast stretching and histogram equalization correct poor contrast in an image. Median filtering is good for speckled images. Hi-boost filtering is recommended for images with unsharp edges. Finally, the criteria is not feasible because no definite correlation exists between this and the human means of image perception and judgement. The criteria is dependable only for specific cases such as neglecting the edge detection error rate for images with poor contrast and including this criterion for evaluating blurred images.
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author Agustin, Charina B.
Dela Cruz, Rizalyn C.
Go, Lilibeth L.
Romero, Marianna S.
spellingShingle Agustin, Charina B.
Dela Cruz, Rizalyn C.
Go, Lilibeth L.
Romero, Marianna S.
Image enhancement algorithm comparison
author_facet Agustin, Charina B.
Dela Cruz, Rizalyn C.
Go, Lilibeth L.
Romero, Marianna S.
author_sort Agustin, Charina B.
title Image enhancement algorithm comparison
title_short Image enhancement algorithm comparison
title_full Image enhancement algorithm comparison
title_fullStr Image enhancement algorithm comparison
title_full_unstemmed Image enhancement algorithm comparison
title_sort image enhancement algorithm comparison
publisher Animo Repository
publishDate 1994
url https://animorepository.dlsu.edu.ph/etd_bachelors/16594
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